Consider data on every game played by the Brooklyn Nets in 2014 (82 games) that includes thevariablesmargin, - the Net's margin of victory (number of points the Nets scored minus the number ofpoints their opponent scored) for game i, and• home; - a dummy variable equal to 1 when the Nets are the home team (game i was played intheir home arena) and equal to 0 when they are the away team (game i was played in theopponent's arena).I use the least-squares method to estimate the following regression modelmargin = a + ßhome; + eiBelow is the Stata output corresponding to the estimated regression line:regress margin home if team===== "Brooklyn Nets".SourceModelResidualTotalmarginhome_consSS1459.9512215252.048816712df1459.95122180 190.65061None of the above81 206.320988Coef. Std. Err.8.439024 3.049595-5.219512 2.156389MStNumber of obsF(1, 80)Prob > FR-squaredO The Nets lost more games than they won in 2014P>|t|2.77 0.007-2.42 0.018Adj R-squared =Root MSE==2.370137-9.510864=The Nets average margin of victory for all games in 2014 was positiveThe Nets average margin of victory for all games in 2014 was negativeThe Nets won more games than they lost in 2014[95% Conf. Interval]827.660.00700.08740.076013.808This output tells us the regression line equation is: margin = −5.2 +8.4home.Assuming that the Nets played half of their games at home and half away, which of the followingconclusions can we make with certainty from the regression results? (check all that apply)14.50791-.9281607

Given Information: Consider the given output that gives the regression line equation:…

Consider data on every game played by the Brooklyn Nets in 2014 (82 games) that includes the variables ● margin, the Net's margin of victory (number of points the Nets scored minus the number of points their opponent scored) for game i, and home; - a dummy variable equal to 1 when the Nets are the home team (game i was played in their home arena) and equal to 0 when they are the away team (game i was played in the opponent's arena). I use the least-squares method to estimate the following regression model margin = a + ßhome; + ei Below is the Stata output corresponding to the estimated regression line: . regress margin home if team== "Brooklyn Nets" Source Model Residual Total margin home _cons SS 1459.95122 15252.0488 16712 df 1459.95122 1 80 190.65061 MS 81 206.320988 Coef. Std. Err. 8.439024 3.049595 -5.219512 2.156389 t Number of obs F(1, 80) Prob > F R-squared. Adj R-squared Root MSE P>|t| 2.77 0.007 -2.42 0.018 2.370137 -9.510864 = = = [95% Conf. Interval] The Nets average margin of victory for all games in 2014 was positive The Nets average margin of victory for all games in 2014 was negative The Nets won more games than they lost in 2014 The Nets lost more games than they won in 2014 None of the above 82 7.66 0.0070 0.0874 0.0760 13.808 14.50791 -.9281607 This output tells us the regression line equation is: margin: = -5.2 +8.4home. Assuming that the Nets played half of their games at home and half away, which of the following conclusions can we make with certainty from the regression results? (check all that apply)

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter7: Analytic Trigonometry

Section7.6: The Inverse Trigonometric Functions

Problem 91E